Information Retrieval: Algorithms and Heuristics

By Hugo Zaragoza. Information retrieval (Boston), 2002

356 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Statistical Language Models for Information Retrieval: A Critical Review (2008, methodology): “Please apply to now Publishers, PO Box 179, 2600 AD Delft, The Netherlands, www.nowpublishers.com; e-mail: sales@nowpublishers.com Foundations and Trends R© in Information Retrieval Volume 2 Issue 3, 2008 Editorial Board”
Learning to detect malicious executables in the wild (2004, methodology): “For the tfidf classifier, we followed a classical approach from information retrieval [16].”
Personalized Web search for improving retrieval effectiveness (2004, methodology): “The value of DT ði; jÞ is determined by the common normalized TF*IDF weight scheme [17].”
Near neighbor searching with K nearest references (2015, methodology): “measures of similarity between sets used in information retrieval tasks [27,6] are the Jaccard coefficient,”
Hate speech detection: Challenges and solutions (2019, background): “For a general information retrieval review, see [24].”